Heimdall
Hybrid DDoS Defense System
A hybrid DDoS prevention architecture combining deterministic L7 rules with Isolation Forest ML for L4 anomaly detection. Features real-time traffic classification and adaptive rate-limiting.
Problem
Origin servers are vulnerable to complex L4/L7 DDoS attacks that can overwhelm infrastructure and cause service outages.
Approach
Hybrid defense using Deterministic Rules (L7) and Isolation Forest ML (L4) for multi-layered protection.
Impact
Adaptive, self-healing shield against multi-vector attacks with real-time threat detection and mitigation.
System Architecture
Interactive diagram — zoom, pan, and explore the defense layers
Technical Implementation
L7 Application Layer
Deterministic rule-based filtering for HTTP/HTTPS traffic. Inspects request patterns, headers, and payload signatures to identify and block malicious requests before they reach the origin server.
L4 Network Layer
Isolation Forest ML algorithm detects anomalous traffic patterns at the transport layer. Unsupervised learning identifies outliers in packet timing, size distribution, and connection behavior.
Key Features
- ›Real-time traffic classification
- ›Adaptive rate-limiting based on behavior
- ›Self-healing defense mechanisms
- ›Multi-vector attack protection
- ›Low-latency packet processing